Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = 0.9 * weight - 16
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
Bronzini
1
54 kgHosking
2
60 kgEdmondson
3
66 kgMustonen
4
58 kgBastianelli
5
60 kgde Baat
6
56 kgKasper
8
59 kgFournier
9
60 kgJohansson
11
58 kgFrapporti
12
63 kgDiao
14
59 kgOlds
15
54 kgMartin
16
57 kgPieters
18
58 kgGilmore
20
56 kgMartisova
21
64 kgJeuland-Tranchant
25
61 kgConfalonieri
29
56 kgCecchini
31
52 kgRiabchenko
36
57 kgNuntana
38
55 kgGuderzo
39
54 kgWong Wan
45
54 kgSomrat
46
56 kgNontasin
51
58 kgMoberg
52
56 kgScandolara
53
52 kgLongo Borghini
54
59 kgBartelloni
55
63 kgvan den Broek-Blaak
56
64 kgLichtenberg
59
52 kgGunnewijk
62
67 kgHatteland Lima
63
65 kgMeng
64
65 kgRoberts
65
61 kgCordon-Ragot
67
60 kgBiannic
69
64 kgHoskins
72
64 kgGu
73
55 kgJasinska
74
57 kgKessler
77
60 kg
1
54 kgHosking
2
60 kgEdmondson
3
66 kgMustonen
4
58 kgBastianelli
5
60 kgde Baat
6
56 kgKasper
8
59 kgFournier
9
60 kgJohansson
11
58 kgFrapporti
12
63 kgDiao
14
59 kgOlds
15
54 kgMartin
16
57 kgPieters
18
58 kgGilmore
20
56 kgMartisova
21
64 kgJeuland-Tranchant
25
61 kgConfalonieri
29
56 kgCecchini
31
52 kgRiabchenko
36
57 kgNuntana
38
55 kgGuderzo
39
54 kgWong Wan
45
54 kgSomrat
46
56 kgNontasin
51
58 kgMoberg
52
56 kgScandolara
53
52 kgLongo Borghini
54
59 kgBartelloni
55
63 kgvan den Broek-Blaak
56
64 kgLichtenberg
59
52 kgGunnewijk
62
67 kgHatteland Lima
63
65 kgMeng
64
65 kgRoberts
65
61 kgCordon-Ragot
67
60 kgBiannic
69
64 kgHoskins
72
64 kgGu
73
55 kgJasinska
74
57 kgKessler
77
60 kg
Weight (KG) →
Result →
67
52
1
77
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BRONZINI Giorgia | 54 |
| 2 | HOSKING Chloe | 60 |
| 3 | EDMONDSON Annette | 66 |
| 4 | MUSTONEN Sara | 58 |
| 5 | BASTIANELLI Marta | 60 |
| 6 | DE BAAT Kim | 56 |
| 8 | KASPER Romy | 59 |
| 9 | FOURNIER Roxane | 60 |
| 11 | JOHANSSON Emma | 58 |
| 12 | FRAPPORTI Simona | 63 |
| 14 | DIAO Xiao Juan | 59 |
| 15 | OLDS Shelley | 54 |
| 16 | MARTIN Lucy | 57 |
| 18 | PIETERS Amy | 58 |
| 20 | GILMORE Rochelle | 56 |
| 21 | MARTISOVA Julia | 64 |
| 25 | JEULAND-TRANCHANT Pascale | 61 |
| 29 | CONFALONIERI Maria Giulia | 56 |
| 31 | CECCHINI Elena | 52 |
| 36 | RIABCHENKO Tetyana | 57 |
| 38 | NUNTANA Supaksorn | 55 |
| 39 | GUDERZO Tatiana | 54 |
| 45 | WONG WAN Yiu | 54 |
| 46 | SOMRAT Phetdarin | 56 |
| 51 | NONTASIN Chanpeng | 58 |
| 52 | MOBERG Emilie | 56 |
| 53 | SCANDOLARA Valentina | 52 |
| 54 | LONGO BORGHINI Elisa | 59 |
| 55 | BARTELLONI Beatrice | 63 |
| 56 | VAN DEN BROEK-BLAAK Chantal | 64 |
| 59 | LICHTENBERG Claudia | 52 |
| 62 | GUNNEWIJK Loes | 67 |
| 63 | HATTELAND LIMA Tone | 65 |
| 64 | MENG Lang | 65 |
| 65 | ROBERTS Amy | 61 |
| 67 | CORDON-RAGOT Audrey | 60 |
| 69 | BIANNIC Aude | 64 |
| 72 | HOSKINS Melissa | 64 |
| 73 | GU Sungeun | 55 |
| 74 | JASINSKA Małgorzata | 57 |
| 77 | KESSLER Nina | 60 |